Curricula
Description
| KA00DA48 | Towards Data Mining (5 cr) |
| Prerequisites | Not applicable |
| Objectives | After completing this course, student can recognize data types and perform required pre-processing steps before further analysis. Student can design and implement a data collection process. Student can combine data from different sources. Student can normalize and transform data, and handle missing or incorrect values. Student can ensure generalizability of the results. |
| Content | -Introduction to data pre-processing -Data ethics, security and privacy, data management and databases -Data collection -Merging data sources, sampling and balancing -Missing data -Noise, outliers and signal saturation -Normalization, transformation, data reduction and distributions -Generalizability of the results |
| Recommended optional programme components | If necessary, the student advisor will recommend optional programme components for each student based on their individual study plan. |
| Accomplishment methods | Not applicable |
| Execution methods | Not applicable |
| Materials | Not applicable |
| Literature | Not applicable |
| Evaluation Criteria | 0-5 |
| Evaluation Criteria |
satisfactory (1-2) The student is able to use the basic concepts learned in the course. The student recognizes relevant phenomena and is able to satisfactorily express the definitions of the course. The student completes the given tasks with guidance and knows the different procedures, but doesn’t know how to justify their choices. The student knows how to give and receive feedback by examining and evaluating from own perspective. good (3-4) The student can apply the basic concepts learned in the course. The student can analyse the phenomena and understands well the definitions of the course. The student solves the given tasks and uses different procedures, knowing how to justify the choices. The student is able to give and receive feedback actively and constructively, looking and evaluating from own and environment perspective. The students have good interaction skills and are ready to develop themselves in their studies. excellent (5) The student can use the concepts learned in the course. The student understands the phenomena related to the course and can connect the definitions with professional context. The student solves excellently the given tasks and uses the different procedures creatively, evaluating the justification of the choices. The student is able to give and receive feedback actively and constructively, looking and evaluating from own and professional study field perspective. The student can act responsibly, flexibly and constructively as a team member, developing own and group interaction skills. The student is capable of professional development. |
| Assessment Frameworks | Assessment framework |
| Further Information | Not applicable |
| Responsible persons | Not applicable |
| Links | Assessment framework |
Implementations
Show old implementations
- 11.03.2024 - 03.05.2024 (KA00DA48-3004 | DPD23SYTIK)
19.5.2024 18:45:41